A charging service for electric vehicles is provided. The charging service may allow electric vehicles to be charged when certain conditions are met (e.g., at certain times, when certain battery charge levels are reached, when located at certain sites, etc.), without users of these electric vehicles having to charge the vehicles themselves. Other features pertaining to charging of electric vehicles are also provided, such as an application for estimating a driving range (e.g., distance and/or time) available with a current battery charge level of an electric vehicle.

A system is provided for vehicle range prediction. The system determines a change in mass to a vehicle while driving. Additionally, the system calculates a vehicle load in response to determining the change in mass and adjusts a vehicle range in response to calculating the vehicle load. The vehicle range is indicative of a distance in which the vehicle is predicted to travel with a remaining fuel. The adjusted vehicle range is based on the vehicle load.

A charging and discharging control device disclosed herein controls a charging and discharging device that charges and discharges an on-vehicle battery mounted on an electric vehicle. The charging and discharging control device includes a detection controller configured or programmed to detect that the electric vehicle has been connected to the charging and discharging device, an SOC acquisition controller configured or programmed to acquire an SOC of the on-vehicle battery, a use information acquisition controller configured or programmed to acquire a next use time and a next travel distance of the electric vehicle, and a setting controller configured or programmed to set a charging and discharging schedule of the on-vehicle battery such that the on-vehicle battery is charged after having been maintained in a low SOC and a necessary SOC for the next use time and the next travel distance remains.

Charging guidance systems and methods for charging electrified vehicles may be configured to influence a user’s charging decisions in a manner that simplifies the vehicle charging experience. Exemplary charging guidance systems may be configured to coach the user to charge a traction battery pack of the vehicle at a lower level charging option as opposed to a higher level charging option. Charging at lower level charging options when certain conditions are met reduces the amount of times the vehicle is charged using more aggressive charging methodologies, thereby improving battery performance, reducing costs, and preserving the life/warranty and asset utilization of the traction battery pack over the entire usage life of electrified vehicles.

Battery-powered electrified vehicles towing one or more trailers carrying additional rechargeable batteries results in a multi-battery system for which the act of charging the batteries becomes more challenging. A vehicle driver assistance system hereof aids a driver for identifying recharging stations meeting a desired recharging objective for the combined vehicle/trailer having a main battery and a secondary battery to be recharged. The system guides the driver to a parking location and provides instructions for obtaining a hookup to a recharging station.

The present disclosure relates to an energy management system for an energy storage system of a vehicle, a vehicle comprising such an energy management system, an energy management method for an energy storage system of a vehicle and a computer program element for an energy management system of a vehicle.

The energy management system comprises a propulsion sensor unit, a heat sensor unit, an energy storage sensor unit, a navigation unit and a control unit. The propulsion sensor unit is configured to monitor at least one propulsion parameter of the vehicle. The heat sensor unit is configured to monitor at least one thermal parameter of the vehicle. The energy storage sensor unit is configured to monitor at least one state parameter of the energy storage system, wherein the state parameter comprises at least a current capacity of the energy storage system. The control unit is configured to receive navigation data based on a calculation of a route from a current position to a destination of the vehicle by the navigation unit. The control unit is configured to estimate an upcoming energy consumption based on the propulsion parameter, the thermal parameter and/or the navigation data. The control unit is further configured to adjust at least one of the thermal parameter and the propulsion parameter of the vehicle based on the current capacity of the energy storage system to reduce the upcoming energy consumption and/or a trip time of the vehicle to the destination.

The disclosure is generally directed to systems and methods for adaptive prediction of electrified vehicle performance including receiving a set of goal parameters identifying a drivers performance requirements, receiving a set of fixed parameters related to course, vehicle and passenger status, receiving past energy consumption data for the electrified vehicle and the driver, generating an adaptive prediction of a future state of charge (SOC) of one or more electricity sources, and providing a dynamic control alteration based on the adaptive prediction, the dynamic control alteration as a function of the set of goal parameters. The adaptive prediction is based on the set of goal parameters, the set of fixed parameters and the past energy consumption data. The adaptive prediction includes updated parameters based on performance of the electrified vehicle.

Systems, methods, and at least one computer-readable medium for selecting a velocity profile for an electric vehicle. In some embodiments, a first parameter value may be determined for a road segment in a selection horizon, and a second parameter value may be determined for an energy storage device of the electric vehicle. The first and second parameter values may be used to predict a plurality of velocity profiles over the selection horizon, wherein each velocity profile is predicted based on a corresponding value of a variable relating to a driving style of a driver of the electric vehicle. An energy consumption cost and a travel time cost may be computed for each velocity profile. A velocity profile may be selected from the plurality of velocity profiles, based on the respective energy consumption costs and the respective travel time costs.

An guidance system of an electric mobility vehicle includes a registration section in which replacement places of replacement batteries for the electric mobility vehicle are registered, an estimation section that estimates a possible travel distance of the electric mobility vehicle from a battery remaining capacity of the electric mobility vehicle, and a display section that displays replacement places within a range of the estimated possible travel distance of the electric mobility vehicle among the replacement places of the replacement batteries registered in the registration section on map information.

Systems and methods for charging electric vehicles and for quantitative and qualitative load balancing of electrical demand are provided.